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Original article
Analysis of emergency department prediction tools in evaluating febrile young infants at risk for serious infections

Authors

  • Sarah Hui Wen Yao Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Gene Yong-Kwang Ong Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore Duke-NUS Medical School, Singapore, Singapore PubMed articlesGoogle scholar articles
  • Ian K Maconochie Paediatric Emergency Department, Imperial College Hospital NHS Healthcare Trust, London, UK PubMed articlesGoogle scholar articles
  • Khai Pin Lee Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore Duke-NUS Medical School, Singapore, Singapore PubMed articlesGoogle scholar articles
  • Shu-Ling Chong Department of Emergency Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore Duke-NUS Medical School, Singapore, Singapore PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Shu-Ling Chong, Department of Emergency Medicine, KK Women's and Children’s Hospital, Singapore 229899, Singapore; Chong.Shu-Ling{at}kkh.com.sg
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Citation

Yao SHW, Ong GY, Maconochie IK, et al
Analysis of emergency department prediction tools in evaluating febrile young infants at risk for serious infections
Emergency Medicine Journal 2019;36:729-735.

Publication history

  • Received October 19, 2018
  • Revised September 4, 2019
  • Accepted October 3, 2019
  • First published October 25, 2019.
Online issue publication 
November 21, 2019

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© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.